For comparison purpose, we can standardize the degree by dividing by the maximum
possible value n− 1. Degree is simply the number of nodes at distance one. Though simple, …

… social networks. In this context, our paper shows the state of the art with regard to centrality
measures for social networks. … to the quality of different centrality measures, this paper also …

… of animals with small datasets weighted social network analysis could probably be more …
centrality parameters. Therefore, the further analysis focused on the unweighted centrality …

… of the fundamental connection between network structure and dynamics. … Centrality to identify
influential social media users. Specifically, we study the online social networks of the social …

… Now, we introduce some of the most well-known measures; they concern different
network topologies and appear in most of the social network analysis (SNA) software. …

… of centrality in social network. For this plan, we discuss mathematical definitions and different
developed centrality measures. We also present some applications of centrality measures …

… four centrality indices on small social networks with exemplar structures, stylized networks
… Given the conceptual foundations of the centrality indices, network scholars might expect …

… where SNA or related centrality measures were used to examine the network of trades that
… use of social networks in construction by using them to examine the underlying network of …

… in networks of human interactions. We identify two broad categories of network analysis …
The first deals with the sequence of social interactions and the second is concerned with the …

… network analysis, centrality of a vertex measures the relative importance of a vertex within a
graph. The centrality plays key role in network analysis … of vertex centrality, a novel centrality …